dou3516,github

models

Models and examples built with TensorFlow

onnxruntime-inference-examples-cxx-for-linux

ONNX Runtime C++ sample code that can run in Linux

openvpn-ipv6

IPv6 transport support for openvpn, re-rooted from openvpn-testing repo (previous at: https://github.com/jjo/openvpn-ipv6-legacy21)

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

pyimagesearch

Repository for PyImageSearch Projects: https://www.pyimagesearch.com/

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

rcnn

R-CNN: Regions with Convolutional Neural Network Features

remote_sensing_competitions

A collection of remote sensing competitions, including competition information, solutions, and dataset .

rgbx_semantic_segmentation

Dual image (multi-modal) semantic segmentation

road_building_extraction

Using Pytorch implementation of U-Net architecture for road and building extraction

segloss

A collection of loss functions for medical image segmentation

semantic-segmentation

Semantic segmentation of remote sensing image, using DeepLabv3（PyTorch）

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

ssai-cnn

Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymyr Mnih's methods

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

ushahidi_web

Ushahidi is a platform that allows information collection, visualization and interactive mapping, allowing anyone to submit information through text messaging using a mobile phone, email or web form.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xview2_baseline

Baseline localization and classification models for the xView 2 challenge.

xview3_first_place

Contains source code for the winning solution of the xView3 challenge https://iuu.xview.us/.

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